以下是翻译： 微软CEO萨蒂亚·纳德拉讨论了人工智能、量子计算和混合现实的变革潜力，将它们与科技行业早期的辩论以及互联网泡沫时代的教训进行了类比。他强调了技术进步和商业模式转变的重要性，尤其是在人工智能领域，他认为超大规模厂商将成为主要受益者，因为其对计算能力的需求极其强烈。 纳德拉预计，在人工智能代理和训练需求的驱动下，计算基础设施的需求将呈指数级增长，而像 Azure 这样的超大规模业务将从中受益匪浅。虽然他承认消费者市场可能出现赢家通吃的局面，但他认为企业买家会要求多个供应商，从而避免超大规模领域出现单一主导者。他还预计将出现一个强大的开源模型生态系统，以制衡任何闭源的统治地位。 关于人工智能模型商品化的可能性，纳德拉强调规模会改变商品，并以云为例。运营超大规模业务、管理全球计算区域以及优化舰队部署所需的独特技术诀窍，使得简单的“堆叠服务器”的场景不可能实现。他强调了舰队开发平衡方法的重要性，重点关注支持模型训练和服务的基础设施。 在讨论微软的人工智能收入时，纳德拉并没有过度炒作，而是专注于现实世界的GDP增长。他认为，衡量人工智能成功的真正标准是经济的持续增长，而不仅仅是基准性能。他强调需要将供应侧的投资转化为切实的客户价值，并强调推理收入作为衡量成功的关键指标。他承认过度建设计算能力的潜力，并预计长期内会出现价格修正。 谈话随后转向微软在量子计算领域的突破，特别是利用马约拉纳零模式发现了一种新的物质相。纳德拉将此比作量子计算的“晶体管时刻”，使其能够制造更可靠的量子比特，并有可能构建一个拥有数百万个物理量子比特的实用规模的量子计算机。他预计未来几年将取得重大进展，有可能开发出容错量子计算机。 纳德拉强调，量子计算将是对经典计算的补充，而不是取代，并认为人工智能有机会增强量子模拟能力，反之亦然。 他还讨论了微软在游戏世界模型方面的突破，名为 Muse。该模型使用游戏数据来生成一致且多样化的游戏世界，并且能够适应用户的修改。虽然投资的重点不是构建模型，但纳德拉认为游戏数据是一种宝贵的资产，具有超出游戏背景的潜在应用，例如通用行动和世界模型。 展望未来，纳德拉重申了他对人工智能、量子和混合现实这三个作为解决基本人类和经济挑战的基石的信念。他强调了在物理和数字空间中创造“存在感”的挑战和潜力。 最后，纳德拉承认了先进人工智能带来的伦理和法律挑战。他强调，个人和社会层面的信任是人工智能广泛采用的关键前提。他指出，需要不断发展的法律框架来解决人工智能驱动的世界中的责任和所有权问题，并强调负责任的人工智能部署和人为监督的重要性。

Satya Nadella, CEO of Microsoft, discusses the transformative potential of AI, quantum computing, and mixed reality, drawing parallels to the tech industry's early debates and lessons from the dot-com era. He emphasizes the importance of both technological advancements and business model shifts, particularly in AI, where he sees hyperscalers as key beneficiaries due to the intense compute requirements. Nadella anticipates exponential growth in compute infrastructure demand, driven by AI agents and training needs, and believes that the hyperscale business, like Azure, will benefit significantly. While acknowledging potential winner-take-all scenarios in consumer markets, he argues that enterprise buyers will demand multiple suppliers, preventing a single dominant player in hyperscale. He also anticipates a robust open-source model ecosystem that will serve as a counterbalance to any closed-source dominance. Regarding the potential of commoditization of AI models, Nadella emphasizes that scale transforms commodities, citing the cloud as an example. The unique know-how required to operate a hyperscale business, manage global compute regions, and optimize fleet placement, prevents a simple "rack and stack" scenario. He stresses the importance of a balanced approach to fleet development, focusing on infrastructure that supports both training and serving models. Discussing Microsoft's AI revenue, Nadella tempers hype with a focus on real-world GDP growth, arguing that the true measure of AI's success is a sustained increase in economic growth, not simply benchmark performance. He emphasizes the need to translate supply-side investment into tangible customer value and highlights the significance of inference revenue as a key indicator of success. He acknowledges the potential for overbuilding compute capacity and anticipates a price correction in the long run. The conversation then shifts to Microsoft's quantum computing breakthrough, specifically the discovery of a new phase of matter using Majorana zero modes. Nadella equates this to the "transistor moment" for quantum, enabling the fabrication of more reliable qubits and the potential to build a utility-scale quantum computer with millions of physical qubits. He anticipates significant progress in the coming years, potentially leading to the development of a fault-tolerant quantum computer. Nadella emphasizes that quantum computing will complement, not replace, classical computing, and sees opportunities for AI to enhance quantum simulation capabilities and vice versa. He also discusses Microsoft's breakthrough in gaming world models, named Muse. This model uses game play data to generate consistent and diverse game worlds, with the ability to adapt to user modifications. While investment wasn't focused on building models, Nadella views gaming data as a valuable asset with potential applications beyond the gaming context, such as general action and world models. Looking ahead, Nadella reiterates his belief in AI, quantum, and mixed reality as three cornerstones for solving fundamental human and economic challenges. He highlights the challenges and potential of creating presence in both physical and digital spaces. Finally, Nadella acknowledges the ethical and legal challenges posed by advanced AI. He emphasizes the importance of trust, both personally and societally, as a critical requirement for widespread AI adoption. He points out the need for evolving legal frameworks to address liability and ownership in an AI-driven world, and emphasizes the importance of responsible AI deployment and human oversight.